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A Platform to Build Mobile Health Apps: The Personal Health Intervention Toolkit (PHIT).

Eckhoff RP, Kizakevich PN, Bakalov V, Zhang Y, Bryant SP, Hobbs MA - JMIR Mhealth Uhealth (2015)

Bottom Line: This data analysis results in a tailored app of interventions and other data-collection instruments.The PHIT framework has proven to be an extensible, reconfigurable technology that facilitates mobile data collection and health intervention research.Additional plans include instrument development in other domains, additional health sensors, and a text messaging notification system.

View Article: PubMed Central - HTML - PubMed

Affiliation: RTI International, Research Triangle Park, NC, United States. reckhoff@rti.org.

ABSTRACT
Personal Health Intervention Toolkit (PHIT) is an advanced cross-platform software framework targeted at personal self-help research on mobile devices. Following the subjective and objective measurement, assessment, and plan methodology for health assessment and intervention recommendations, the PHIT platform lets researchers quickly build mobile health research Android and iOS apps. They can (1) create complex data-collection instruments using a simple extensible markup language (XML) schema; (2) use Bluetooth wireless sensors; (3) create targeted self-help interventions based on collected data via XML-coded logic; (4) facilitate cross-study reuse from the library of existing instruments and interventions such as stress, anxiety, sleep quality, and substance abuse; and (5) monitor longitudinal intervention studies via daily upload to a Web-based dashboard portal. For physiological data, Bluetooth sensors collect real-time data with on-device processing. For example, using the BinarHeartSensor, the PHIT platform processes the heart rate data into heart rate variability measures, and plots these data as time-series waveforms. Subjective data instruments are user data-entry screens, comprising a series of forms with validation and processing logic. The PHIT instrument library consists of over 70 reusable instruments for various domains including cognitive, environmental, psychiatric, psychosocial, and substance abuse. Many are standardized instruments, such as the Alcohol Use Disorder Identification Test, Patient Health Questionnaire-8, and Post-Traumatic Stress Disorder Checklist. Autonomous instruments such as battery and global positioning system location support continuous background data collection. All data are acquired using a schedule appropriate to the app's deployment. The PHIT intelligent virtual advisor (iVA) is an expert system logic layer, which analyzes the data in real time on the device. This data analysis results in a tailored app of interventions and other data-collection instruments. For example, if a user anxiety score exceeds a threshold, the iVA might add a meditation intervention to the task list in order to teach the user how to relax, and schedule a reassessment using the anxiety instrument 2 weeks later to re-evaluate. If the anxiety score exceeds a higher threshold, then an advisory to seek professional help would be displayed. Using the easy-to-use PHIT scripting language, the researcher can program new instruments, the iVA, and interventions to their domain-specific needs. The iVA, instruments, and interventions are defined via XML files, which facilities rapid app development and deployment. The PHIT Web-based dashboard portal provides the researcher access to all the uploaded data. After a secure login, the data can be filtered by criteria such as study, protocol, domain, and user. Data can also be exported into a comma-delimited file for further processing. The PHIT framework has proven to be an extensible, reconfigurable technology that facilitates mobile data collection and health intervention research. Additional plans include instrument development in other domains, additional health sensors, and a text messaging notification system.

No MeSH data available.


Related in: MedlinePlus

During mindfulness training, an external heart rate monitor captures heart rate data to objectively determine if the user is relaxing or not.
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figure5: During mindfulness training, an external heart rate monitor captures heart rate data to objectively determine if the user is relaxing or not.

Mentions: In addition to form-based data entry, the PHIT platform can also collect objective data from internal device sensors (eg, global positioning system coordinates) and external Bluetooth sensors (eg, heart rate monitor or fitness accelerometer). In the PHIT for Duty study, where individuals with post-traumatic stress are taught mindfulness exercises for stress reduction, the mobile app uses a heart rate monitor during the mindfulness meditation to calculate heart rate variability (HRV) and graphically show whether the user is achieving a more calm state. This is illustrated in the middle-line chart of Figure 5. Notice the rise in the middle graph after the onset of meditation as the user goes from a stressful state to a calm state.


A Platform to Build Mobile Health Apps: The Personal Health Intervention Toolkit (PHIT).

Eckhoff RP, Kizakevich PN, Bakalov V, Zhang Y, Bryant SP, Hobbs MA - JMIR Mhealth Uhealth (2015)

During mindfulness training, an external heart rate monitor captures heart rate data to objectively determine if the user is relaxing or not.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4526892&req=5

figure5: During mindfulness training, an external heart rate monitor captures heart rate data to objectively determine if the user is relaxing or not.
Mentions: In addition to form-based data entry, the PHIT platform can also collect objective data from internal device sensors (eg, global positioning system coordinates) and external Bluetooth sensors (eg, heart rate monitor or fitness accelerometer). In the PHIT for Duty study, where individuals with post-traumatic stress are taught mindfulness exercises for stress reduction, the mobile app uses a heart rate monitor during the mindfulness meditation to calculate heart rate variability (HRV) and graphically show whether the user is achieving a more calm state. This is illustrated in the middle-line chart of Figure 5. Notice the rise in the middle graph after the onset of meditation as the user goes from a stressful state to a calm state.

Bottom Line: This data analysis results in a tailored app of interventions and other data-collection instruments.The PHIT framework has proven to be an extensible, reconfigurable technology that facilitates mobile data collection and health intervention research.Additional plans include instrument development in other domains, additional health sensors, and a text messaging notification system.

View Article: PubMed Central - HTML - PubMed

Affiliation: RTI International, Research Triangle Park, NC, United States. reckhoff@rti.org.

ABSTRACT
Personal Health Intervention Toolkit (PHIT) is an advanced cross-platform software framework targeted at personal self-help research on mobile devices. Following the subjective and objective measurement, assessment, and plan methodology for health assessment and intervention recommendations, the PHIT platform lets researchers quickly build mobile health research Android and iOS apps. They can (1) create complex data-collection instruments using a simple extensible markup language (XML) schema; (2) use Bluetooth wireless sensors; (3) create targeted self-help interventions based on collected data via XML-coded logic; (4) facilitate cross-study reuse from the library of existing instruments and interventions such as stress, anxiety, sleep quality, and substance abuse; and (5) monitor longitudinal intervention studies via daily upload to a Web-based dashboard portal. For physiological data, Bluetooth sensors collect real-time data with on-device processing. For example, using the BinarHeartSensor, the PHIT platform processes the heart rate data into heart rate variability measures, and plots these data as time-series waveforms. Subjective data instruments are user data-entry screens, comprising a series of forms with validation and processing logic. The PHIT instrument library consists of over 70 reusable instruments for various domains including cognitive, environmental, psychiatric, psychosocial, and substance abuse. Many are standardized instruments, such as the Alcohol Use Disorder Identification Test, Patient Health Questionnaire-8, and Post-Traumatic Stress Disorder Checklist. Autonomous instruments such as battery and global positioning system location support continuous background data collection. All data are acquired using a schedule appropriate to the app's deployment. The PHIT intelligent virtual advisor (iVA) is an expert system logic layer, which analyzes the data in real time on the device. This data analysis results in a tailored app of interventions and other data-collection instruments. For example, if a user anxiety score exceeds a threshold, the iVA might add a meditation intervention to the task list in order to teach the user how to relax, and schedule a reassessment using the anxiety instrument 2 weeks later to re-evaluate. If the anxiety score exceeds a higher threshold, then an advisory to seek professional help would be displayed. Using the easy-to-use PHIT scripting language, the researcher can program new instruments, the iVA, and interventions to their domain-specific needs. The iVA, instruments, and interventions are defined via XML files, which facilities rapid app development and deployment. The PHIT Web-based dashboard portal provides the researcher access to all the uploaded data. After a secure login, the data can be filtered by criteria such as study, protocol, domain, and user. Data can also be exported into a comma-delimited file for further processing. The PHIT framework has proven to be an extensible, reconfigurable technology that facilitates mobile data collection and health intervention research. Additional plans include instrument development in other domains, additional health sensors, and a text messaging notification system.

No MeSH data available.


Related in: MedlinePlus